Best Data Clean Room Software for Amazon Web Services (AWS)

Find and compare the best Data Clean Room software for Amazon Web Services (AWS) in 2026

Use the comparison tool below to compare the top Data Clean Room software for Amazon Web Services (AWS) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Snowflake Reviews

    Snowflake

    Snowflake

    $2 compute/month
    4 Ratings
    Snowflake offers a unified AI Data Cloud platform that transforms how businesses store, analyze, and leverage data by eliminating silos and simplifying architectures. It features interoperable storage that enables seamless access to diverse datasets at massive scale, along with an elastic compute engine that delivers leading performance for a wide range of workloads. Snowflake Cortex AI integrates secure access to cutting-edge large language models and AI services, empowering enterprises to accelerate AI-driven insights. The platform’s cloud services automate and streamline resource management, reducing complexity and cost. Snowflake also offers Snowgrid, which securely connects data and applications across multiple regions and cloud providers for a consistent experience. Their Horizon Catalog provides built-in governance to manage security, privacy, compliance, and access control. Snowflake Marketplace connects users to critical business data and apps to foster collaboration within the AI Data Cloud network. Serving over 11,000 customers worldwide, Snowflake supports industries from healthcare and finance to retail and telecom.
  • 2
    Vendia Reviews
    Vendia is a Software as a Service (SaaS) platform that facilitates seamless sharing of code and data across various clouds, regions, and technology stacks for businesses and organizations. By allowing enterprises to collaborate effectively, Vendia streamlines the sharing process across distinct companies, accounts, and environments. Its innovative architecture employs a distributed data model that ensures accessibility wherever it's needed, complemented by a serverless design that allows for effortless scaling. Vendia empowers businesses to develop a comprehensive view of their data, which is particularly useful for tracking and tracing items throughout a supply chain. This data often involves multiple business parties, including suppliers, logistics providers, and affiliates, which may consist of different legal entities or divisions within a single organization. Additionally, it accommodates scenarios where departments are separated by their choice of cloud services, such as one utilizing AWS while another opts for Azure. This versatility and adaptability make Vendia a crucial tool for modern enterprises navigating complex data-sharing challenges.
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    Duality Reviews

    Duality

    Duality Technologies

    Duality Technologies offers an innovative platform designed to enable privacy-preserving collaboration and AI-driven analysis on sensitive and distributed datasets without compromising security or compliance. Leveraging Privacy Enhancing Technologies such as fully homomorphic encryption, trusted execution environments, and federated learning, Duality ensures data remains encrypted and protected throughout its lifecycle. The platform facilitates seamless secure data collaboration and governance, allowing organizations to unlock valuable insights while preserving data privacy and sovereignty. Its applications span financial services, healthcare, government, and marketing, enabling secure risk assessment, patient research, and customer retention analytics. Duality integrates with leading cloud platforms like AWS, Azure, and Google, providing flexible deployment options with verifiable compliance. The company’s approach eliminates the need to move or expose sensitive data, significantly reducing regulatory and operational risks. Duality’s customers, including top global banks and government agencies, use the platform to securely evaluate AI models and collaborate across decentralized data environments. Their technology supports advanced AI workflows, enabling organizations to monetize sensitive data while maintaining full control and transparency.
  • 4
    Habu Reviews
    Access data from any location, even within a vast array of diverse environments. The most effective method to boost acquisition and retention is through the enrichment of data and models. By leveraging machine learning, new insights can be uncovered by integrating proprietary models, such as propensity models, with data in a secure manner, which enhances customer profiles and models while allowing for rapid scalability. Enriching data alone is insufficient; your team needs to transition smoothly from insights to actionable strategies. Automate the segmentation of audiences and deploy your campaigns instantly across various channels. Make informed targeting decisions to optimize budget utilization and reduce churn rates. Understand the optimal timing and locations for targeting efforts. Equip yourself with the necessary tools to act on data in real-time. Tracking the complete customer journey, along with the various data types involved, has always posed significant difficulties. With the increasing stringency of privacy regulations and the growing distribution of data, it is now more crucial than ever to ensure secure and straightforward access to those intent signals for effective decision-making, which will ultimately enhance overall operational efficiency.
  • 5
    LiveRamp Clean Room Reviews
    With the decline of third-party cookies, the rise of data privacy regulations, and consumer opt-out options becoming more prevalent, crucial customer insights are often trapped within isolated platforms and ecosystems. Introducing the LiveRamp Clean Room, powered by Habu, which enables you to enhance your return on ad spend (ROAS) by seamlessly integrating, analyzing, and activating your data across various platforms. By utilizing this solution, you can achieve a comprehensive understanding of performance metrics across all advertising channels, including walled gardens, connected TV providers, and social media platforms, empowering you to make informed strategic decisions based on complete datasets. This innovative tool fosters privacy-centric data collaboration within the expanding LiveRamp global ecosystem, unveiling fresh opportunities while advancing your marketing campaigns. You can also expedite the realization of value through a customized user experience designed for business professionals, featuring prebuilt templates and generative AI, alongside advanced analytics for more technical users. In addition, you will be able to optimize your spending with clear visibility across walled gardens, channels, and cloud environments, ensuring you make the most informed choices for your advertising budget. Ultimately, the LiveRamp Clean Room serves as a crucial asset in navigating the shifting landscape of data privacy and marketing analytics.
  • 6
    Amazon Marketing Cloud Reviews
    Amazon Marketing Cloud (AMC) serves as a secure and privacy-compliant clean room solution that empowers advertisers to conduct analyses and build audiences using pseudonymized data, which includes insights from Amazon Ads and other sources. By integrating diverse signals from various Amazon platforms, advertisers, and selected external partners, AMC allows for versatile inquiries within a secure privacy framework. This enables advertisers to leverage tailored insights and audience segments derived from AMC to refine their campaign strategies, enhance direct marketing efforts, and shape key business choices. Additionally, users can generate custom audience lists based on interaction logs, conversion events, and segmentation data. The audiences crafted within AMC can be seamlessly activated through Amazon DSP, providing a streamlined approach to targeting. Furthermore, AMC offers a comprehensive view of customer shopping journeys across Amazon’s media and channels, effectively measuring the advertising impact both within and beyond the Amazon ecosystem. Ultimately, this tool not only enhances advertising strategies but also fosters a deeper understanding of consumer behavior and preferences.
  • 7
    AWS Clean Rooms Reviews
    Instantiate clean rooms swiftly and engage with your partners while keeping raw data private. AWS Clean Rooms enables clients to swiftly and effortlessly set up their own clean rooms without the burden of developing, overseeing, and maintaining their proprietary solutions. Companies can leverage APIs to seamlessly embed AWS Clean Rooms’ capabilities into their existing workflows. This innovative service allows businesses and their collaborators to analyze and share insights from their combined datasets securely, all while ensuring that no underlying data is exchanged or duplicated. With AWS Clean Rooms, establishing a secure data clean room can be done in mere minutes, allowing collaboration with any AWS partner to uncover valuable insights related to advertising initiatives, investment strategies, and research and development projects. Furthermore, AWS Clean Rooms simplifies the process of deriving insights from data contributed by multiple parties, facilitating minimal data transfer and safeguarding the confidentiality of all underlying information. This solution not only enhances collaboration but also fosters a culture of data privacy among organizations.
  • 8
    InfoSum Reviews
    InfoSum unlocks data’s unlimited potential. InfoSum uses patented privacy-first technology to connect customer records between companies without sharing data. InfoSum is trusted by customers in financial services, content distribution and connected television as well as gaming, entertainment, and gaming. It seamlessly and compliantly connects customer data to other partners via privacy-safe, permission-controlled data networks. InfoSum's technology has many uses, from the standard 'data-onboarding" to more complex use cases that allow the creation of own identity platforms, the development and sale of new products and data, and the creation of completely new markets. InfoSum was established in 2015. InfoSum was founded in 2015. The company is poised to experience exponential growth.
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